Team WPI‐CMU: Achieving Reliable Humanoid Behavior in the DARPA Robotics Challenge

Abstract

In the DARPA Robotics Challenge (DRC), participating human‐robot teams were required to integrate mobility, manipulation, perception, and operator interfaces to complete a simulated disaster mission. We describe our approach using the humanoid robot Atlas Unplugged developed by Boston Dynamics. We focus on our approach, results, and lessons learned from the DRC Finals to demonstrate our strategy, including extensive operator practice, explicit monitoring for robot errors, adding additional sensing, and enabling the operator to control and monitor the robot at varying degrees of abstraction. Our safety‐first strategy worked: we avoided falling, and remote operators could safely recover from difficult situations. We were the only team in the DRC Finals that attempted all tasks, scored points (14/16), did not require physical human intervention (a reset), and did not fall in the two missions during the two days of tests. We also had the most consistent pair of runs.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 23, 2017
Source ID
10.1002/rob.21685

Entities

People

  • Aaron Jaeger
  • Benzun P. W. Babu
  • Chenggang Liu
  • Christoper P. Bove
  • Christopher G. Atkeson
  • Dmitry Berenson
  • Felipe Polido
  • Joohyung Kim
  • Joshua P. Graff
  • Kevin Knoedler
  • Lening Li
  • Mathew Dedonato
  • Michael A. Gennert
  • Nandan Banerjee
  • Peng He
  • Perry Franklin
  • Ruixiang Du
  • Siyuan Feng
  • Taskin Padir
  • X. Xinjilefu
  • Xianchao Long
  • Xiongyi Cui

Organizations

  • Carnegie Mellon University
  • Defense Advanced Research Projects Agency
  • Northeastern University
  • Worcester Polytechnic Institute

Tags

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Aviation Science / Aeronautics.
  • Educational Psychology

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Human-Robot Interaction